Centro de Controle de Zoonoses da Secretaria Municipal de Saúde de Foz do Iguaçu, Paraná, Brazil.
Laboratório de Transmissores de Hematozoários, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil.
Front Public Health. 2022 Oct 28;10:1024187. doi: 10.3389/fpubh.2022.1024187. eCollection 2022.
Arboviruses transmitted by in urban environments have spread rapidly worldwide, causing great impacts on public health. The development of reliable and timely alert signals is among the most important steps in designing accurate surveillance systems for vector-borne diseases. In July and September 2017, we conducted a pilot study to improve an existing integrated surveillance system by using entomo-virological surveillance to prioritize areas to conduct active searches for individuals with arbovirus infection symptoms. Foz do Iguaçu City has a permanent entomo-virological surveillance system with approximately 3,500 traps to capture sp. in the adult stage. The females are captured alive and human samples are submitted to RT-qPCR (real-time qPCR) screening for DENV, ZIKV, and CHIKV diagnosis. Of the 55 mosquitoes tested in July 2017, seven (12.7%) were considered positive for DENV-2 and three (5.4%) for CHIKV. In September, we tested a sample of 54 mosquitoes, and 15 (27.7%) were considered infected by DENV-2. We created 25 circumferences with 150-m radius each to perform an active survey to identify symptomatic householders. In July, we selected one circumference, and five (35.7%) patients were positive for DENV, whereas two (14.3%) for CHIKV. In September, we selected four circumferences, and, from the 21 individuals sampled, nine (42.8%) were positive for DENV-2. A statistical model with a binomial response was used to estimate the number of cases in areas without active surveys, i.e., 20 circumferences. We estimated an additional 83 symptomatic patients (95% CI: 45-145) to be found in active searches, with 38 (95% CI: 18-72) of them confirming arbovirus infection. Arbovirus detection and serotyping in mosquitoes, but also in symptomatic individuals during active surveys, can provide an alert signal of early arbovirus transmission.
在城市环境中传播的虫媒病毒在全球范围内迅速传播,对公共卫生造成了巨大影响。开发可靠和及时的警报信号是设计准确的虫媒疾病监测系统的最重要步骤之一。2017 年 7 月和 9 月,我们进行了一项试点研究,通过利用昆虫病毒学监测来优化现有的综合监测系统,为进行具有虫媒病毒感染症状的个体的主动搜索确定重点区域。福斯杜伊瓜苏市拥有一个永久性的昆虫病毒学监测系统,大约有 3500 个诱捕器来捕获 sp. 的成虫。雌性昆虫被捕获并存活,人类样本被提交进行 RT-qPCR(实时 qPCR)筛选,以诊断 DENV、ZIKV 和 CHIKV。2017 年 7 月,我们对 55 只蚊子进行了测试,其中 7 只(12.7%)被认为对 DENV-2 呈阳性,3 只(5.4%)对 CHIKV 呈阳性。9 月,我们测试了 54 只蚊子的样本,其中 15 只(27.7%)被认为感染了 DENV-2。我们创建了 25 个周长为 150 米的圆圈,以进行主动调查,以确定有症状的住户。7 月,我们选择了一个圆圈,其中 5 名(35.7%)患者对 DENV 呈阳性,2 名(14.3%)对 CHIKV 呈阳性。9 月,我们选择了四个圆周,在 21 名抽样个体中,有 9 名(42.8%)对 DENV-2 呈阳性。我们使用二项式响应的统计模型来估计没有主动调查的区域的病例数,即 20 个圆周。我们估计在主动搜索中还会发现另外 83 名有症状的患者(95%CI:45-145),其中 38 名(95%CI:18-72)将确认患有虫媒病毒感染。在蚊子中检测到虫媒病毒并对其进行血清分型,以及在主动调查中对有症状的个体进行检测,都可以提供虫媒病毒传播早期的警报信号。